Investigating inter-chromosomal regulatory relationships through a comprehensive meta-analysis of matched copy number and transcriptomics data sets

BACKGROUND: Gene regulatory relationships can be inferred using matched array comparative genomics and transcriptomics data sets from cancer samples. The way in which copy numbers of genes in cancer samples are often greatly disrupted works like a natural gene amplification/deletion experiment. Ther...

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Detalles Bibliográficos
Autores principales: Newton, Richard, Wernisch, Lorenz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4650296/
https://www.ncbi.nlm.nih.gov/pubmed/26581858
http://dx.doi.org/10.1186/s12864-015-2100-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4650296/
https://www.ncbi.nlm.nih.gov/pubmed/26581858
http://dx.doi.org/10.1186/s12864-015-2100-5

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